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       log:  Z:\interactionmodels\results\unconditionalfragmentation.log
  log type:  text
 opened on:  11 Jan 2007, 16:02:24

. *     ***************************************************************** *;
. *     ***************************************************************** *;
. *       File-Name:      unconditionalfragmentation.do                   *;
. *       Date:           01/09/2007                                      *;
. *       Author:         MRG                                             *;
. *       Purpose:        Check MSG claims about the unconditional effect *;
. *                       of Fragmentation                                *;
. *       Input File:     STATA_mozaffar.dta                              *;
. *       Output File:    unconditionalfragmentation.log                  *;
. *       Data Output:    none                                            *;
. *       Previous file:                                                  *;
. *       Machine:                                                        *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. set mem 10m;
(10240k)

. use getdata\STATA_mozaffar.dta;

. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *           Mozaffar et al. report some things in footnotes that we     *;
. *           should check.                                               *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       First, fragmentation independently reduces the number of        *;
. *       electoral and legislative parties.  Footnote 7 says that this   *;
. *       comes from Model 2 and Model 3 but without the interaction term.*;
. *       Let's take a look.                                              *;
. *     ****************************************************************  *;
. regress  elecparties fragmentation2 concentration, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  2,    59) =    3.39
                                                       Prob > F      =  0.0403
                                                       R-squared     =  0.1345
                                                       Root MSE      =   2.554

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |   .0030011   .0110744     0.27   0.787    -.0191587    .0251609
concentrat~n |   .9962007   .3842254     2.59   0.012     .2273676    1.765034
       _cons |   1.563258   .5375682     2.91   0.005     .4875867    2.638929
------------------------------------------------------------------------------

. regress  elecparties fragmentation concentration, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  2,    59) =    3.33
                                                       Prob > F      =  0.0425
                                                       R-squared     =  0.1349
                                                       Root MSE      =  2.5533

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |  -.0408855   .1427251    -0.29   0.776    -.3264778    .2447068
concentrat~n |   1.078073   .4307871     2.50   0.015     .2160696    1.940076
       _cons |   1.691572   .6589754     2.57   0.013     .3729653    3.010179
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Fragmentation has a negative but not significant effect on      *;
. *       electoral parties.                                              *;
. *     ****************************************************************  *;
. regress  legparties fragmentation2 concentration, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  2,    59) =    4.96
                                                       Prob > F      =  0.0102
                                                       R-squared     =  0.2197
                                                       Root MSE      =  1.3526

------------------------------------------------------------------------------
             |               Robust
  legparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |   .0066958   .0053591     1.25   0.216    -.0040278    .0174194
concentrat~n |   .6453204   .2146289     3.01   0.004      .215849    1.074792
       _cons |   1.131297   .3013583     3.75   0.000       .52828    1.734313
------------------------------------------------------------------------------

. regress  legparties fragmentation concentration, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  2,    59) =    4.80
                                                       Prob > F      =  0.0117
                                                       R-squared     =  0.2100
                                                       Root MSE      =  1.3609

------------------------------------------------------------------------------
             |               Robust
  legparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |   .0419553   .0618552     0.68   0.500    -.0818167    .1657274
concentrat~n |   .6538003   .2289004     2.86   0.006     .1957716    1.111829
       _cons |   1.112169   .3422827     3.25   0.002     .4272628    1.797075
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Fragmentation has a positive but not significant effect on      *;
. *       electoral parties.                                              *;
. *     ****************************************************************  *;
. regress  elecparties fragmentation2 concentration logmag10 proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  5,    56) =    2.38
                                                       Prob > F      =  0.0503
                                                       R-squared     =  0.2865
                                                       Root MSE      =  2.3802

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |   .0057738   .0093937     0.61   0.541     -.013044    .0245916
concentrat~n |   .8164388   .3584157     2.28   0.027     .0984459    1.534432
    logmag10 |  -.3919789   .3101477    -1.26   0.212    -1.013279    .2293216
   proximity |  -4.023775   1.240204    -3.24   0.002    -6.508203   -1.539347
prox_presc~e |   1.128632   .3953284     2.85   0.006     .3366936     1.92057
       _cons |   2.937835   .7882552     3.73   0.000      1.35877      4.5169
------------------------------------------------------------------------------

. regress  elecparties fragmentation concentration logmag10 proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  5,    56) =    2.37
                                                       Prob > F      =  0.0508
                                                       R-squared     =  0.2833
                                                       Root MSE      =  2.3855

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |   .0038383   .1209081     0.03   0.975    -.2383697    .2460462
concentrat~n |    .861822   .3909094     2.20   0.032     .0787364    1.644908
    logmag10 |  -.3608577   .3012898    -1.20   0.236    -.9644137    .2426983
   proximity |  -4.009147   1.222043    -3.28   0.002    -6.457194     -1.5611
prox_presc~e |   1.135387   .3978192     2.85   0.006     .3384593    1.932315
       _cons |     2.9615   .8849098     3.35   0.001     1.188813    4.734187
------------------------------------------------------------------------------

. regress  legparties fragmentation2 concentration logmag10 proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  5,    56) =    5.21
                                                       Prob > F      =  0.0005
                                                       R-squared     =  0.3894
                                                       Root MSE      =  1.2282

------------------------------------------------------------------------------
             |               Robust
  legparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |   .0078497    .004956     1.58   0.119    -.0020783    .0177777
concentrat~n |   .5470185   .2218989     2.47   0.017     .1025017    .9915354
    logmag10 |  -.0817609   .1318325    -0.62   0.538     -.345853    .1823313
   proximity |   -2.42427   .5064746    -4.79   0.000    -3.438861    -1.40968
prox_presc~e |    .632921   .1932614     3.27   0.002     .2457718     1.02007
       _cons |   1.916576   .3111969     6.16   0.000     1.293173    2.539978
------------------------------------------------------------------------------

. regress  legparties fragmentation concentration logmag10 proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  5,    56) =    5.14
                                                       Prob > F      =  0.0006
                                                       R-squared     =  0.3815
                                                       Root MSE      =   1.236

------------------------------------------------------------------------------
             |               Robust
  legparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |   .0663998   .0579536     1.15   0.257    -.0496952    .1824948
concentrat~n |    .533136   .2284353     2.33   0.023     .0755252    .9907469
    logmag10 |  -.0671521   .1318739    -0.51   0.613    -.3313274    .1970231
   proximity |  -2.446504   .5153496    -4.75   0.000    -3.478873   -1.414134
prox_presc~e |   .6375498   .1937453     3.29   0.002     .2494313    1.025668
       _cons |   1.853707   .3386086     5.47   0.000     1.175392    2.532022
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Thus, there is no evidence to support the claim that            *;
. *       fragmentation independently reduces the number of electoral and *;
. *       legislative parties.                                            *;
. *     ****************************************************************  *;
. log close;
       log:  Z:\interactionmodels\results\unconditionalfragmentation.log
  log type:  text
 closed on:  11 Jan 2007, 16:02:25
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